songsee
songsee is an Audio, music & podcasts skill for AI agents, published by openclaw in the openclaw repository on GitHub. Skillspace rates songsee D (65/100) and it passed the safety scan; a judge model has also reviewed it.
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 389,362
Placed #2 of 2 when judged against its near-duplicates in Audio, music & podcasts.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #2 of 2 when judged against its near-duplicates in Audio, music & podcasts.
- Trigger
70 70 - Instructions
65 65 - Specificity
65 65 - Safety
85 85 - Disclosure
72 72 - Maintenance
55 55
Same songsee CLI wrapper as its sibling but thinner: no install instructions and no definitions for the nine --viz types it lists.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Also published in 1 other repo
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